Michael I. Jordan

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David BleiProfessor of Statistics and Computer Science, Columbia UniversityEmail verificata su columbia.edu
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleEmail verificata su eng.cam.ac.uk
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyEmail verificata su cs.berkeley.edu
Mingsheng LongAssociate Professor, Tsinghua UniversityEmail verificata su tsinghua.edu.cn
Francis BachInria - Ecole Normale SupérieureEmail verificata su inria.fr
Robert JacobsProfessor of Brain and Cognitive Sciences, University of RochesterEmail verificata su bcs.rochester.edu
Ion StoicaProfessor of Computer Science, UC BerkeleyEmail verificata su cs.berkeley.edu
David PattersonProfessor of Computer Science, UC BerkeleyEmail verificata su cs.berkeley.edu
Gert LanckrietProfessor, UCSDEmail verificata su eng.ucsd.edu
John DuchiAssociate Professor of Statistics and Electrical Engineering, Stanford UniversityEmail verificata su stanford.edu
Benjamin RechtProfessor of EECS, University of California, BerkeleyEmail verificata su eecs.berkeley.edu
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UEmail verificata su cs.cmu.edu
Tamara BroderickAssociate Professor of EECS, Massachusetts Institute of TechnologyEmail verificata su mit.edu
XuanLong NguyenUniversity of MichiganEmail verificata su umich.edu
Yair WeissProfessor of Computer Science, Hebrew UniversityEmail verificata su mail.huji.ac.il
Erik B. SudderthProfessor of Computer Science, UC IrvineEmail verificata su uci.edu
Ameet TalwalkarCMUEmail verificata su cmu.edu
Daniel WolpertProfessor of Neuroscience, Columbia UniversityEmail verificata su columbia.edu
Philipp MoritzGraduate Student, UC BerkeleyEmail verificata su berkeley.edu
Stuart RussellProfessor of Computer Science, University of California, BerkeleyEmail verificata su cs.berkeley.edu

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Michael I. Jordan

Professor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC Berkeley

Email verificata su cs.berkeley.edu - Home page

machine learning computer science statistics artificial intelligence optimization


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Latent dirichlet allocation DM Blei, AY Ng, MI Jordan Journal of machine Learning research 3 (Jan), 993-1022, 2003	55760	2003
On spectral clustering: Analysis and an algorithm A Ng, M Jordan, Y Weiss Advances in neural information processing systems 14, 2001	12637	2001
Machine learning: Trends, perspectives, and prospects MI Jordan, TM Mitchell Science 349 (6245), 255-260, 2015	10130	2015
Trust Region Policy Optimization J Schulman arXiv preprint arXiv:1502.05477, 2015	8894	2015
Adaptive mixtures of local experts RA Jacobs, MI Jordan, SJ Nowlan, GE Hinton Neural computation 3 (1), 79-87, 1991	6315	1991
Learning transferable features with deep adaptation networks M Long, Y Cao, J Wang, M Jordan International conference on machine learning, 97-105, 2015	6172	2015
Graphical models, exponential families, and variational inference MJ Wainwright, MI Jordan Foundations and Trends® in Machine Learning 1 (1–2), 1-305, 2008	5619	2008
An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Machine learning 37, 183-233, 1999	5519	1999
Sharing clusters among related groups: Hierarchical Dirichlet processes Y Teh, M Jordan, M Beal, D Blei Advances in neural information processing systems 17, 2004	5480	2004
An internal model for sensorimotor integration DM Wolpert, Z Ghahramani, MI Jordan Science 269 (5232), 1880-1882, 1995	4301	1995
Hierarchical mixtures of experts and the EM algorithm MI Jordan, RA Jacobs Neural computation 6 (2), 181-214, 1994	4268	1994
Distance metric learning with application to clustering with side-information E Xing, M Jordan, SJ Russell, A Ng Advances in neural information processing systems 15, 2002	4061	2002
High-dimensional continuous control using generalized advantage estimation J Schulman, P Moritz, S Levine, M Jordan, P Abbeel arXiv preprint arXiv:1506.02438, 2015	4037	2015
On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes A Ng, MI Jordan Advances in Neural Information Processing Systems 14, 841, 2002	3748	2002
An introduction to MCMC for machine learning C Andrieu, N De Freitas, A Doucet, MI Jordan Machine learning 50, 5-43, 2003	3652	2003
Optimal feedback control as a theory of motor coordination E Todorov, MI Jordan Nature neuroscience 5 (11), 1226-1235, 2002	3625	2002
Learning the kernel matrix with semidefinite programming GRG Lanckriet, N Cristianini, P Bartlett, LE Ghaoui, MI Jordan Journal of Machine learning research 5 (Jan), 27-72, 2004	3153	2004
Kalman filtering with intermittent observations B Sinopoli, L Schenato, M Franceschetti, K Poolla, MI Jordan, SS Sastry IEEE transactions on Automatic Control 49 (9), 1453-1464, 2004	3013	2004
Deep transfer learning with joint adaptation networks M Long, H Zhu, J Wang, MI Jordan International conference on machine learning, 2208-2217, 2017	2986	2017
Theoretically principled trade-off between robustness and accuracy H Zhang, Y Yu, J Jiao, E Xing, L El Ghaoui, M Jordan International conference on machine learning, 7472-7482, 2019	2825	2019

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